In 1980 the New Orleans City Planning Commission, for planning and decision-making purposes, divided the city into Census Tract based 'neighborhoods'. Additional neighborhoods were created after the 1990 and 2000 Censuses. Following Hurricane Katrina the Greater New Orleans Community Data Center (GNOCDC) settled on these boundaries to facilitate the use of local data in decision-making. These neighborhoods underwent further change during the 2010 Census due to modifications (consolidation and/or splitting) of Census Tracts. The resulting boundaries were renamed as 'Neighborhood Statistical Areas' to reflect their actual function. Census Tracts are small, relatively permanent statistical subdivisions of a county or statistically equivalent entity delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The primary purpose of Census Tracts is to provide a stable set of geographic units for the presentation of decennial census data.

Census Tracts are small, relatively permanent statistical subdivisions of a county or statistically equivalent entity delineated by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The primary purpose of Census Tracts is to provide a stable set of geographic units for the presentation of decennial census data. In 1980 the New Orleans City Planning Commission, for planning and decision-making purposes, divided the city into Census Tract based 'neighborhoods'. Additional neighborhoods were created after the 1990 and 2000 Censuses. Following Hurricane Katrina the Greater New Orleans Community Data Center (GNOCDC) settled on these boundaries to facilitate the use of local data in decision-making. These neighborhoods underwent further change during the 2010 Census due to modifications (consolidation and/or splitting) of Census Tracts, the resulting boundaries were renamed as 'Neighborhood Statistical Areas' to reflect their actual function.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions in the Gulf of Mexico. These integrated bathymetric-topographic DEMs were developed for NOAA Coastal Survey Development Laboratory (CSDL) through the American Recovery and Reinvestment Act (ARRA) of 2009 to evaluate the utility of the Vertical Datum Transformation tool (VDatum), developed jointly by NOAA's Office of Coast Survey (OCS), National Geodetic Survey (NGS), and Center for Operational Oceanographic Products and Services (CO-OPS). Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. Coastal Services Center (CSC), the U.S. Office of Coast Survey (OCS), the U.S. Army Corps of Engineers (USACE), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of North American Datum of 1983 (NAD 83). Cell size ranges from 1/3 arc-second (~10 meters) to 1 arc-second (~30 meters). The NOAA VDatum DEM Project was funded by the American Recovery and Reinvestment Act (ARRA) of 2009 (http://www.recovery.gov/).

This dataset provides information about the number of properties, residents, and average property values for Center Street cross streets in New Orleans, LA.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions in the Gulf of Mexico. These integrated bathymetric-topographic DEMs were developed for NOAA Coastal Survey Development Laboratory (CSDL) through the American Recovery and Reinvestment Act (ARRA) of 2009 to evaluate the utility of the Vertical Datum Transformation tool (VDatum), developed jointly by NOAA's Office of Coast Survey (OCS), National Geodetic Survey (NGS), and Center for Operational Oceanographic Products and Services (CO-OPS). Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. Coastal Services Center (CSC), the U.S. Office of Coast Survey (OCS), the U.S. Army Corps of Engineers (USACE), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of North American Datum of 1983 (NAD 83). Cell size ranges from 1/3 arc-second (~10 meters) to 1 arc-second (~30 meters). The NOAA VDatum DEM Project was funded by the American Recovery and Reinvestment Act (ARRA) of 2009 (http://www.recovery.gov/).

Hurricane Katrina of August, 2005, is remembered as one of the most destructive and influential storms in United States history. The densely populated city of New Orleans, one of many areas around the Gulf Coast to face catastrophic damage, endured extreme flooding and physical destruction when several levees and other flood prevention features guarding the city broke down. Many evacuated the city and fled to far corners of the country, and a large portion of these evacuees were unable to resettle in New Orleans after the storm. Dealing with the aftermath of Hurricane Katrina involved many immense challenges, but ten years later, one can see the effects of a decade of hard work in restoring this historic city. This series of maps tracks New Orleans through these ten years of change. The story map uses the Esri Story Map Series app, The story was produced by Esri in collaboration with the Smithsonian Institution. The story can also be found on the Smithsonian Website. Data for each map was taken from the following sources:Katrina Diaspora: 2006 American Community Survey 1-year Estimates, State-to-State Migration Flows, NHC, NOAA, NWS. Flooding: Terrestrial lidar datasets of New Orleans levee failures from Hurricane Katrina, August 29, 2005: U.S. Geological Survey Data Series, NASA Earth Observatory, NOAA National Geodetic Survey. Physical Damage: FEMA dataset collection following Hurricane Katrina and transferred to CNO/SHPOPopulation Shift: The Data Center analysis of data from U.S. Census 2000 Summary File 1 (SF1) and U.S. Census 2010 Summary File 1 (SF1)Steady Restoration: The Data Center analysis of Valassis Residential and Business Database Neighborhood Reference Map: City of New Orleans GIS Department For more information on Esri Story Map apps, visit storymaps.arcgis.com.

In 2006, the U.S. Department of Housing and Urban Development (HUD) began acquiring quarterly extracts of U.S. Postal Service (USPS) data and publishing this data as a possible indicator of blight and vacancy for cities nationwide. In this report, addresses coded as “no–stat” in the HUD data are used as proxies for blighted housing units in New Orleans because a parcel–by–parcel census of all properties in New Orleans is not available. (HUD data description available at: http://www.huduser.org/portal/datasets/usps.html)

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Centerline of major waterways in Orleans Parish used for topology.

This lidar dataset was collected as part of an NCALM Seed grant for Donald Davidson at the University of New Orleans. This dataset was collected to help understand the vegetation-sediment-flow interplay in deltaic wetlands. Data was collected southeast of New Orleans, LA, over Quarantine Bay.

Publications associated with this dataset can be found at NCALM's Data Tracking Center.

The Average Salary chart presents a clear visualization of the salary progression for graduates from Louisiana State University Health Sciences Center-New Orleans from 2020 to 2023, illustrating the yearly average salary trends. Additionally, the chart compares these figures with the overall average salary trends of graduates from all schools, providing a comprehensive view of how Louisiana State University Health Sciences Center-New Orleans’s graduates stand in terms of earning potential relative to their peers nationwide. This data is crucial for prospective students assessing the ROI of their education at Louisiana State University Health Sciences Center-New Orleans.